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5674 Publications
2024 | Preprint | LibreCat-ID: 51334 | 
Sonntag K, Gebken B, Müller G, Peitz S, Volkwein S. A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces. arXiv:240206376. Published online 2024.
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| arXiv
2024 | Journal Article | LibreCat-ID: 40171 |
Peitz S, Stenner J, Chidananda V, Wallscheid O, Brunton SL, Taira K. Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning. Physica D: Nonlinear Phenomena. 2024;461:134096. doi:10.1016/j.physd.2024.134096
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2024 | Bachelorsthesis | LibreCat-ID: 52318
Dorociak S. Implementierung Eines Algorithmus Zur Motivbasierten Schnitt-Sparsifizierung.; 2024.
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2024 | Conference Paper | LibreCat-ID: 52235
Khedkar M, Bodden E. Toward an Android Static Analysis Approach for Data Protection. In: Proceedings of the 9th International Conference on Mobile Software Engineering and Systems. ; 2024.
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| arXiv
2024 | Journal Article | LibreCat-ID: 52587
Bodden E, Pottebaum J, Fockel M, Gräßler I. Evaluating Security Through Isolation and Defense in Depth. IEEE Security & Privacy. 2024;22(1):69-72. doi:10.1109/msec.2023.3336028
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2024 | Journal Article | LibreCat-ID: 33461 |
Otto SE, Peitz S, Rowley CW. Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories. SIAM Journal on Applied Dynamical Systems. 2024;23(1):885-923. doi:10.1137/22M1523601
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| arXiv
2024 | Misc | LibreCat-ID: 52663
Wickert A-K, Schlichtig M, Vogel M, Winter L, Mezini M, Bodden E. Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability.; 2024.
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2024 | Journal Article | LibreCat-ID: 52686
Ahmed QA, Wiersema T, Platzner M. Post-configuration Activation of Hardware Trojans in FPGAs. Journal of Hardware and Systems Security. Published online 2024. doi:10.1007/s41635-024-00147-5
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2024 | Conference Paper | LibreCat-ID: 52379
Hüsing S, Schulte C, Sparmann S, Bolte M. Using Worked Examples for Engaging in Epistemic Programming Projects. In: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1. ACM; 2024. doi:10.1145/3626252.3630961
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2024 | Conference Paper | LibreCat-ID: 52827
Hu L, Habernal I, Shen L, Wang D. Differentially Private Natural Language Models: Recent Advances and Future Directions. In: Graham Y, Purver M, eds. Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024. Association for Computational Linguistics; 2024:478–499.
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